Abstract: An entity recognition method, a model training method, an electronic device, and a medium, which relate to fields of artificial intelligence, information acquiring technologies. The entity recognition method includes: extracting specified entities from a text in a source file of a webpage to be recognized, and acquiring a text encoding result for each specified entity; determining a text block formed by each specified entity in the webpage, and encoding a relative layout information between each two text blocks, to obtain a position encoding result; constructing a triple by the position encoding result for each two text blocks and the text encoding results for respective specified entities of the two text blocks; and performing a graph convolution on each triple to obtain a relation recognition result for the webpage to be recognized, where the relation recognition result indicates whether an association exists between each two text blocks in the webpage.

Abstract: Embodiments of the disclosure disclose a method for automatically annotating a target object in images. In one embodiment, the method comprises: obtaining an image training sample including a plurality of images, wherein each image of the plurality of images is obtained by photographing a same target object, and the adjacent images share one or more same environmental feature points; using one of the plurality of images as a reference image to determine a reference coordinate system, and create a three-dimensional space model based on the three-dimensional reference coordinate system; determining the position information of the target object in the three-dimensional reference coordinate system upon the three-dimensional space model being moved to the position of the target object in the reference image; and mapping the three-dimensional space model to image planes of each image, respectively, based on respective camera pose information determined based on environmental feature points in each image.

Abstract: Embodiments of the present disclosure provide a POI name matching method, apparatus, device and storage medium, which obtain a first POI name and a second POI name that are to be matched; obtain a similarity between the first POI name and the second POI name according to a pre-trained network model; and determine that a first POI and a second POI are the same POI entity in name semantics when the similarity is higher than a preset threshold. The embodiments determine a semantic similarity between POI names through the pre-trained network model, which realizes the POI name matching without needing to maintain a large number of manual rules and depending on similarity feature of manually extracted POI names, and has higher accuracy, better maintainability and higher processing efficiency.

Abstract: Provided is a rice mitochondrial sterile gene and the application thereof. A rice mitochondrial sterile gene and a coding sequence thereof are disclosed. A specific molecular marker was designed from said gene sequence and enables a rapid and effective screening and identification of D1-type cytoplasm from wild rice for breeding a new D1-type cytoplasm sterile line. A specific sequence in the mitochondria genome of D1-type cytoplasm sterile line was identified by comparative genomics. Sterility-related ORFs were identified from gene prediction and expression difference analysis. A plant transformation vector was constructed to transform maintainer line for verification and sterile function.

Abstract: Embodiments of the disclosure disclose a method for automatically annotating a target object in images. In one embodiment, the method comprises: obtaining an image training sample including a plurality of images, wherein each image of the plurality of images is obtained by photographing a same target object, and the adjacent images share one or more same environmental feature points; using one of the plurality of images as a reference image to determine a reference coordinate system, and create a three-dimensional space model based on the three-dimensional reference coordinate system; determining the position information of the target object in the three-dimensional reference coordinate system upon the three-dimensional space model being moved to the position of the target object in the reference image; and mapping the three-dimensional space model to image planes of each image, respectively, based on respective camera pose information determined based on environmental feature points in each image.

Abstract: The invention discloses the use of paeoniflorin-6?-O-benzenesulfonate of formula I in treatment of Sjögren's syndrome. Paeoniflorin-6?-O-benzenesulfonate of the invention, which has definitely curative effect, is characterized superiorly in that, it could be taken clinically for a long time with small dosage, mild adverse reaction and good patient compliance. The molecular formula of paeoniflorin-6?-O-benzenesulfonate is C29H32O13S, and the chemical structure is shown in Formula I.

Abstract: The invention discloses the use of paeoniflorin-6?-O-benzenesulfonate of formula I in treatment of Sjögren's syndrome. Paeoniflorin-6?-O-benzenesulfonate of the invention, which has definitely curative effect, is characterized superiorly in that, it could be taken clinically for a long time with small dosage, mild adverse reaction and good patient compliance. The molecular formula of paeoniflorin-6?-O-benzenesulfonate is C29H32O13S, and the chemical structure is shown in Formula I.

Abstract: Provided is a rice mitochondrial sterile gene and the application thereof. A rice mitochondrial sterile gene and a coding sequence thereof are disclosed. A specific molecular marker was designed from said gene sequence and enables a rapid and effective screening and identification of D1-type cytoplasm from wild rice for breeding a new D1-type cytoplasm sterile line. A specific sequence in the mitochondria genome of D1-type cytoplasm sterile line was identified by comparative genomics. Sterility-related ORFs were identified from gene prediction and expression difference analysis. A plant transformation vector was constructed to transform maintainer line for verification and sterile function.